| Artificial neural network models for the prediction of MRR in Electro-chemical machining DK Kasdekar, V Parashar, C Arya Materials Today: Proceedings 5 (1), 772-779, 2018 | 26 | 2018 |
| MADM approach for optimization of multiple responses in EDM of En-353 steel DK Kasdekar, V Parashar International Journal of Advanced Science and Technology 83 (1), 59-70, 2015 | 18 | 2015 |
| Determination of optimum parameters for surface roughness in CNC turning by using GRA-PCA SK Rathore, J Vimal, DK Kasdekar International Journal of Engineering, Science and Technology 10 (2), 37-49, 2018 | 14 | 2018 |
| Performance of Box-Behnken and prediction model are compared with Al-Nano MMC to maximize the MRR DK Kasdekar, V Parashar Materials Today: Proceedings 4 (2), 3173-3181, 2017 | 10 | 2017 |
| Taguchi method and ANOVA: an approach for selection of process parameters of EDM of EN-353 steel KN Kasdekar, V Parashar, J Singh, MK Gour Int. J. Emerg. Technol. Adv. Eng 4 (6), 313-321, 2014 | 10 | 2014 |
| Application of ELECTRE-I, II methods for EDM performance measures in manufacturing decision making R Tiwari, S Agrawal, DK Kasdekar IOP Conference Series: Materials Science and Engineering 748 (1), 012015, 2020 | 9 | 2020 |
| Application of GRA for optimal machining parameter selection in EDM B Singh, DK Kasdekar, V Parashar International Journal of Hybrid Information Technology 8 (10), 371-382, 2015 | 9 | 2015 |
| Optimal machining condition for turning of hard porcelain using response surface methodology S Agrawal, MK Guar, DK Kasdekar, S Agrawal, CS Malvi European Journal of Advances in Engineering and Technology 2 (5), 44-51, 2015 | 9 | 2015 |
| Principal component analysis to optimize the ECM parameters of aluminium alloy DK Kasdekar, V Parashar Materials Today: Proceedings 5 (2), 5398-5406, 2018 | 8 | 2018 |
| Time Series Model Forecasting of Boot Using Holt, Winter and Decomposition Method AP Singh, MK Gaur, S Agrawal, DK Kasdekar Journal of Industrial Safety Engineering 2 (2), 23-31, 2015 | 8 | 2015 |
| Optimization of machining parameters in electro discharge machining of Al6061-Cu-SiC-graphite metal matrix composite DK Kasdekar, V Parashar, P Soni Materials Science Forum 860, 61-64, 2016 | 5 | 2016 |
| Development of artificial intelligence model for the prediction of MRR in turning VK Chaurasia, DK Kasdekar, V Shivhare International Journal of Hybrid Information Technology 9 (2), 75-82, 2016 | 5 | 2016 |
| Layout design and evaluation using computer relative allocation of facilities technique A Dhawan, DK Kasdekar, S Agrawal Proceedings International Conference, 103-108, 2014 | 5 | 2014 |
| Mathematical and prediction modeling of material removal rate for evaluating the effects of process parameters SS Kushwah, DK Kasdekar, S Agrawal Ambient Communications and Computer Systems: RACCCS 2017, 509-523, 2018 | 4 | 2018 |
| Time-Based Optimization of Injection Moulding Process Using Response Surface Methodology A Kumar, M Gaur, DK Kasdekar, S Agrawal European Journal of Advances in Engineering and Technology 2 (5), 97-102, 2015 | 4 | 2015 |
| Optimization of MRR and electrolyte coating thickness of ECM parameters using PCA based GRA S Agrawal, S Agrawal, DK Kasdekar Materials Today: Proceedings 5 (9), 18956-18965, 2018 | 3 | 2018 |
| Modeling and simulation of Al6082 MMC of gravity die casting for solidification time H Pal, DK Kasdekar, S Agrawal Ambient Communications and Computer Systems: RACCCS-2018, 135-147, 2019 | 1 | 2019 |
| Optimization of Welding Parameter for Arc Welding of Mild Steel Plate (Grade-40) DS Jadoun, RP Kori, DK Kasdekar Methodology 5, 8, 2016 | 1 | 2016 |
| Empirical Modeling and Multi-objective Optimization of 7075 Metal Matrix Composites on Machining of Computerized Numerical Control Wire Electrical Discharge Machining Process A Mishra, DK Kasdekar, S Agrawal Recent Trends in Communication and Intelligent Systems: Proceedings of …, 2020 | | 2020 |
| Evaluating the Best Belt Conveyor Assembly Using TOPSIS Approach NS Chauhan Trends in Transport Engineering and Applications 1 (3), 1-6, 2019 | | 2019 |
